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With the current advance of technology, agent-based applications are becoming a standard in a great variety of domains such as e-commerce, logistics, supply chain management, telecommunications, healthcare, and manufacturing.
Vicente Julian, Vicente Botti
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Mutual Information and Multi-Agent Systems [PDF]
We consider the use of Shannon information theory, and its various entropic terms to aid in reaching optimal decisions that should be made in a multi-agent/Team scenario.
Ira S. Moskowitz +2 more
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Asymptotic consensus of hybrid multi-agent systems considering network attacks [PDF]
This paper focuses on the problem of active defense and achieving asymptotic consensus control in hybrid multi-agent systems under network attacks. Considering the influence of Byzantine nodes, on the basis of the theory of mimic defense, a deep dynamic ...
Dongwei Wang, Ying Zhang
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The autonomous vehicle (AV) is one of the first commercialized AI-embedded robots to make autonomous decisions. Despite technological advancements, unavoidable AV accidents that result in life-and-death consequences cannot be completely eliminated.
Jimin Rhim +4 more
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In this paper, we addressed the problem of controlling the position of a group of unicycle-type robots to follow in formation a time-varying reference avoiding obstacles when needed. We propose a kinematic control scheme that, unlike existing methods, is
Jose Bernardo Martinez +2 more
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Dealing with Deadlocks in Industrial Multi Agent Systems
Automated Manufacturing Systems (AMS) consisting of many cooperating devices incorporated into multiple cooperating production lines, sharing common resources, represent industrial Multi-Agent Systems (MAS).
František Čapkovič
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Detecting the driver nodes of temporal networks
Detecting the driver nodes of complex networks has garnered significant attention recently to control complex systems to desired behaviors, where nodes represent system components and edges encode their interactions.
Tingting Qin, Gaopeng Duan, Aming Li
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Overview of Software Agent Platforms Available in 2023
Agent-based computing remains an active field of research with the goal of building (semi-)autonomous software for dynamic ecosystems. Today, this task should be realized using dedicated, specialized frameworks.
Zofia Wrona +6 more
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Multi‐agent reinforcement learning based transmission scheme for IRS‐assisted multi‐UAV systems
In this paper, a transmission scheme based on multi‐agent reinforcement learning for intelligent reflecting surface (IRS)‐assisted multiple unmanned aerial vehicles (UAVs) systems is proposed.
Yumo Mei +4 more
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Fault Tolerant Consensus of Multi Agent Systems Under Actuator Faults
This paper is concerned with the control of Lipschitz continuous multi-agent systems in the presence of actuator faults. The faults in a multi-agent system can potentially affect the mission and lead to instability.
Karthi Ramachandran, Jyh-Ching Juang
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